Description: Algorithms for Decision Making, Hardcover by Kochenderfer, Mykel J.; Wheeler, Tim A.; Wray, Kyle H., ISBN 0262047012, ISBN-13 9780262047012, Like New Used, Free shipping in the US A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. Th first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. Th focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.
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Book Title: Algorithms for Decision Making
Number of Pages: 700 Pages
Publication Name: Algorithms for Decision Making
Language: English
Publisher: MIT Press
Subject: Programming / Algorithms, Neural Networks, General
Item Height: 1.7 in
Publication Year: 2022
Item Weight: 48.5 Oz
Type: Textbook
Author: Tim A. Wheeler, Kyle H. Wray, Mykel J. Kochenderfer
Subject Area: Computers, Technology & Engineering
Item Length: 9.3 in
Item Width: 8.3 in
Format: Hardcover
